TY - GEN
T1 - RPAS
T2 - 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2022
AU - Zhang, Shijie
AU - Liu, Zhongquan
AU - Wang, Hao
AU - Sang, Fan
AU - Li, Jiaxin
AU - Guo, Yuxuan
AU - Pei, Xuan
AU - Zhang, Jianglong
AU - Tang, Tao
AU - Hou, Taogang
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In modern competitive swimming, the evaluation of position, speed and technique of athletes in swimming is of significant importance for improving grades. In past years, there are plenty of methods to evaluate the position and speed of swimmers, in-cluding speedometer, IMU(Inertial Measurement Unit), GPS(Global Positioning System)+accelerometer. To overcome some of their disadvantages, i.e., inconvenient installation, complicated speed calculation, and limited scenarios, we propose a refined positioning and analysis system based on aerial platform for swimming scene, which includes the unmanned aircraft system, the aruco positioning system, and the siamban tracking system. UAV hovers at a fixed height to capture videos of swimmers. The siamban tracking system tracks the position of swimming cap, mapping the the position to the real world through the aruco positioning system. In static experiment, the minimum position error is 0.002m, when the ground truth is 2.1m. The MAE is 0.0231m, which has declined 74.3% compared to IMU, showing high precision of our method. In addition, we have implemented applications in dynamic swimming scenes, demonstrating great potential in some non-contact measurement scenes of our method.
AB - In modern competitive swimming, the evaluation of position, speed and technique of athletes in swimming is of significant importance for improving grades. In past years, there are plenty of methods to evaluate the position and speed of swimmers, in-cluding speedometer, IMU(Inertial Measurement Unit), GPS(Global Positioning System)+accelerometer. To overcome some of their disadvantages, i.e., inconvenient installation, complicated speed calculation, and limited scenarios, we propose a refined positioning and analysis system based on aerial platform for swimming scene, which includes the unmanned aircraft system, the aruco positioning system, and the siamban tracking system. UAV hovers at a fixed height to capture videos of swimmers. The siamban tracking system tracks the position of swimming cap, mapping the the position to the real world through the aruco positioning system. In static experiment, the minimum position error is 0.002m, when the ground truth is 2.1m. The MAE is 0.0231m, which has declined 74.3% compared to IMU, showing high precision of our method. In addition, we have implemented applications in dynamic swimming scenes, demonstrating great potential in some non-contact measurement scenes of our method.
UR - https://www.scopus.com/pages/publications/85141188663
U2 - 10.1109/CYBER55403.2022.9907184
DO - 10.1109/CYBER55403.2022.9907184
M3 - 会议稿件
AN - SCOPUS:85141188663
T3 - 2022 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2022
SP - 688
EP - 693
BT - 2022 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 July 2022 through 31 July 2022
ER -